| An end to end process development for UAV-SfM based forest monitoring: Individual tree detection, species classification and carbon dynamics simulation A Fujimoto, C Haga, T Matsui, T Machimura, K Hayashi, S Sugita, ... Forests 10 (8), 680, 2019 | 55 | 2019 |
| Scenario analysis of land-use and ecosystem services of social-ecological landscapes: implications of alternative development pathways under declining population in the Noto … S Hashimoto, R DasGupta, K Kabaya, T Matsui, C Haga, O Saito, ... Sustainability science 14, 53-75, 2019 | 45 | 2019 |
| A natural language processing model for supporting sustainable development goals: translating semantics, visualizing nexus, and connecting stakeholders T Matsui, K Suzuki, K Ando, Y Kitai, C Haga, N Masuhara, S Kawakubo Sustainability Science 17 (3), 969-985, 2022 | 36 | 2022 |
| Risk assessment of forest disturbance by typhoons with heavy precipitation in northern Japan J Morimoto, M Aiba, F Furukawa, Y Mishima, N Yoshimura, S Nayak, ... Forest ecology and management 479, 118521, 2021 | 29 | 2021 |
| A new survey method using convolutional neural networks for automatic classification of bird calls Y Maegawa, Y Ushigome, M Suzuki, K Taguchi, K Kobayashi, C Haga, ... Ecological Informatics 61, 101164, 2021 | 26 | 2021 |
| Impact of urbanization on the food–water–land–ecosystem nexus: A study of Shenzhen, China X Shi, T Matsui, T Machimura, C Haga, A Hu, X Gan Science of The Total Environment 808, 152138, 2022 | 24 | 2022 |
| Simulation of natural capital and ecosystem services in a watershed in Northern Japan focusing on the future underuse of nature: by linking forest landscape model and social … C Haga, T Inoue, W Hotta, R Shibata, S Hashimoto, H Kurokawa, ... Sustainability science 14, 89-106, 2019 | 17 | 2019 |
| Development of a species identification system of Japanese bats from echolocation calls using convolutional neural networks K Kobayashi, K Masuda, C Haga, T Matsui, D Fukui, T Machimura Ecological Informatics 62, 101253, 2021 | 16 | 2021 |
| Errors and uncertainties associated with the use of unconventional activity data for estimating CO2 emissions: the case for traffic emissions in Japan T Oda, C Haga, K Hosomi, T Matsui, R Bun Environmental Research Letters 16 (8), 084058, 2021 | 15 | 2021 |
| Scenario analysis of renewable energy–biodiversity nexuses using a Forest landscape model C Haga, M Maeda, W Hotta, T Inoue, T Matsui, T Machimura, M Nakaoka, ... Frontiers in Ecology and Evolution 8, 155, 2020 | 14 | 2020 |
| A scenario-and spatial-downscaling-based land-use modeling framework to improve the projections of plausible futures: a case study of the Guangdong–Hong Kong–Macao Greater Bay … X Shi, T Matsui, C Haga, T Machimura, S Hashimoto, O Saito Sustainability Science 16, 1977-1998, 2021 | 12 | 2021 |
| Spatially explicit residential and working population assumptions for projecting and assessing natural capital and ecosystem services in Japan T Matsui, C Haga, O Saito, S Hashimoto Sustainability science 14, 23-37, 2019 | 11 | 2019 |
| Long-term cumulative impacts of windthrow and subsequent management on tree species composition and aboveground biomass: A simulation study considering regeneration on downed logs W Hotta, J Morimoto, C Haga, SN Suzuki, T Inoue, T Matsui, T Owari, ... Forest ecology and management 502, 119728, 2021 | 10 | 2021 |
| Modeling desirable futures at local scale by combining the nature futures framework and multi-objective optimization C Haga, M Maeda, W Hotta, T Matsui, M Nakaoka, J Morimoto, H Shibata, ... Sustainability Science, 1-21, 2023 | 6 | 2023 |
| Renewable energy Nexus: interlinkages with biodiversity and social issues in Japan K Tanaka, C Haga, K Hori, T Matsui Energy Nexus 6, 100069, 2022 | 6 | 2022 |
| Does Deep Learning Enhance the Estimation for Spatially Explicit Built Environment Stocks through Nighttime Light Data Set? Evidence from Japanese Metropolitans Z Liu, R Saito, J Guo, C Hirai, C Haga, T Matsui, H Shirakawa, ... Environmental Science & Technology 57 (9), 3971-3979, 2023 | 4 | 2023 |
| Development of a method for downscaling ecological footprint and biocapacity to a 1-km square resolution K Hori, S Shirahama, S Hashimoto, O Saito, T Matsui, C Haga Sustainability Science 18 (3), 1549-1568, 2023 | 3 | 2023 |
| Modeling tree recovery in wind-disturbed forests with dense understory species under climate change C Haga, W Hotta, T Inoue, T Matsui, M Aiba, T Owari, SN Suzuki, ... Ecological Modelling 472, 110072, 2022 | 3 | 2022 |
| LANDIS-II NECN Succession v6. 7 Extension User Guide RM Scheller, MS Lucash, A Kretchun, P Henne, C Haga, W Hotta | 3 | 2021 |
| Dominant temperate and subalpine Japanese trees have variable photosynthetic thermal optima according to site mean annual temperature Y Kobayashi, C Haga, N Shinohara, K Nishizawa, AS Mori Global Ecology and Biogeography 32 (3), 397-407, 2023 | 2 | 2023 |
Takanori MatsuiOsaka university在 see.eng.osaka-u.ac.jp 的电子邮件经过验证
